Garcia-Sosa, A. T.; Maran, U. Combined Naïve Bayesian, chemical fingerprints, and molecular docking classifiers to model and predict androgen receptor binding activity data for environmentally- and health-sensitive substances. Int. J. Mol. Sci. 2021, 22, 6695.
Compound
| ID: | 3563-14-2 | |
|---|---|---|
| Name: | Sulfasuccinamide | |
| Description: | ||
| Labels: | eval | |
| CAS: | 3563-14-2 | |
| InChi Code: | InChI=1S/C10H12N2O5S/c11-18(16,17)8-3-1-7(2-4-8)12-9(13)5-6-10(14)15/h1-4H,5-6H2,(H,12,13)(H,14,15)(H2,11,16,17) |
Properties
BindingClass: Activity in Androgen Receptor
| Value | Source or prediction |
|---|---|
| 0 |
experimental value |
| 0 |
Procedure_13: Multivariate Logistic Regression Model (Evaluation set) |